Six-Sigma Robust Optimization on the NVH Performance of the CRFM Based on Isight

This paper presents a six-sigma robust optimization method for the NVH performance of the condenser radiator fan module (CRFM), which involves robust analysis methods, design of experiment (DOE) technology, radial basis function (RBF) metamodel, Monte Carlo simulation, and six-sigma robust analysis methods. The effects of uncertain factors on the product quality characteristics are researched by considering the cooling fan imbalance fluctuation and the steering wheel acceleration response distribution caused by the fluctuation of vibration-isolating pad stiffness. The optimization process is as follows: Detailed CRFM FE model and full noise, vibration, and harshness (NVH) model are built, then the cooling fan imbalance is served as the excitation, and the steering wheel acceleration is served as the response. RBF metamodels are built on the samples generated by the orthogonal experimental design, and the distribution of steering wheel acceleration response is simulated using Monte Carlo method by recognizing the distribution of input parameters and choosing the descriptive sampling method. Finally, take the acceleration response on the steering wheel as objective function and complete the six-sigma robust analysis and optimization on the NVH performance of the CRFM.